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I applied via Naukri.com and was interviewed in Oct 2024. There were 4 interview rounds.
Experienced data analyst with a background in statistics and programming.
Graduated with a degree in Statistics
Proficient in programming languages such as Python and R
Worked on various data analysis projects for companies like XYZ Corp
Skilled in data visualization and interpretation
Data analytics allows for uncovering valuable insights from data to drive informed decision-making and improve business performance.
Data analytics helps in identifying trends and patterns within data sets
It enables businesses to make data-driven decisions for better outcomes
Data analytics can optimize processes and improve efficiency
It helps in predicting future trends and behaviors based on historical data
Data analyti...
1.Data cleaning and preprocessing (e.g., handling missing data).
2.SQL queries for data extraction.
3.Basic statistics or data analysis (e.g., mean, median, correlation).
1. Apply analytical techniques to solve business problems.
2. Use data visualization and storytelling to present findings.
3. Show critical thinking and problem-solving abilities.
I prioritize tasks in a data project by assessing deadlines, importance, dependencies, and impact on overall project goals.
Identify deadlines for each task and prioritize based on urgency
Consider the importance of each task in relation to project goals
Take into account dependencies between tasks and prioritize accordingly
Assess the potential impact of completing each task on the overall project success
I prioritize tasks, break them down into smaller steps, and communicate effectively with team members to ensure deadlines are met.
Prioritize tasks based on urgency and importance
Break down tasks into smaller, manageable steps
Communicate effectively with team members to delegate tasks and ensure everyone is on the same page
Developing a predictive model for customer churn in a telecom company
Identifying relevant features such as call duration, data usage, and customer tenure
Cleaning and preprocessing large datasets to handle missing values and outliers
Building and fine-tuning machine learning models like logistic regression and random forest
Evaluating model performance using metrics like accuracy, precision, and recall
Top trending discussions
I was interviewed in Dec 2024.
I am a data analyst with a background in statistics and experience in analyzing large datasets.
Background in statistics
Experience in analyzing large datasets
Proficient in data visualization tools like Tableau
Strong problem-solving skills
Excellent communication skills
I would rate myself a 4 out of 5 in SQL proficiency.
Proficient in writing complex SQL queries
Experienced in optimizing database performance
Familiar with data manipulation and analysis functions
Comfortable working with large datasets
I use Power BI to analyze and visualize data for insights and decision-making in my work.
Connect to data sources to import data
Transform and clean data using Power Query Editor
Create relationships between different data tables
Design interactive reports and dashboards
Use DAX formulas for calculations and measures
Share reports with stakeholders and collaborate on insights
I applied via Recruitment Consulltant and was interviewed in Nov 2024. There were 2 interview rounds.
I applied via AmbitionBox and was interviewed in Nov 2024. There were 3 interview rounds.
NLP is my favorite subject. Is relatated medical and sign language. I have done reseach with mechien learning and AI TOOLS used for problem solving approach.
A group discussion was conducted on data-based management regarding Mr. Adani's food industry products in the state of Gujarat and their exports to other countries, utilizing data analytics.
Sql python bigdata hadoop hive spark
1 hour simple coding python sql
SQL allows for efficient data retrieval, manipulation, and analysis in relational databases.
SQL is widely used in querying databases to retrieve specific data.
It allows for data manipulation, such as adding, updating, and deleting records.
SQL can perform complex data analysis tasks, such as aggregations and joins.
It provides a standardized language for interacting with relational databases.
SQL is essential for generati...
Python is a versatile programming language known for its simplicity, readability, and vast library support.
Easy to learn and use, making it ideal for beginners and experienced programmers alike
Extensive library support for data analysis, machine learning, web development, and more
Strong community support with active forums and resources for problem-solving
Cross-platform compatibility allows for seamless integration wit...
Spark is a fast and powerful big data processing framework that offers benefits like speed, ease of use, and versatility.
Spark is known for its speed, as it can process data up to 100 times faster than traditional Hadoop MapReduce.
It offers ease of use with high-level APIs in Java, Scala, Python, and SQL, making it accessible to a wide range of users.
Spark is versatile, supporting various workloads such as batch proces...
Huddles of data engineers refer to collaborative meetings or discussions among data engineers to share insights, solve problems, and make decisions.
Huddles are typically informal and can be scheduled or ad-hoc.
They provide a platform for data engineers to brainstorm, troubleshoot, and exchange ideas.
Huddles may involve reviewing code, discussing data pipelines, or addressing technical challenges.
Effective huddles promo...
Alteryx data processing and reporting
I applied via Walk-in and was interviewed in Nov 2024. There were 2 interview rounds.
Online aptitude test with maths and statistics and data analysis
I applied via Campus Placement and was interviewed in Nov 2024. There was 1 interview round.
Logical,verbal,quants
I applied via Naukri.com and was interviewed in Nov 2024. There was 1 interview round.
based on 1 interview
Interview experience
based on 2 reviews
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